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What 81,000 people want from AI

Anthropic used a version of Claude to interview 80,508 users across 159 countries and 70 languages - claiming the largest qualitative AI study ever conducted. The top ask wasn't productivity, it was time back for things that matter outside of work. The top fear was hallucinations and unreliability. .. read more Ā 

What 81,000 people want from AI
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Building a digital doorman

Larson runs a dual-agent system. A tiny public doorman,nullclaw, lives on a $7 VPS. A private host,ironclaw, runs over Tailscale. Nullclaw sandboxes repo cloning. It routes heavy work to ironclaw viaA2AJSON‑RPC. It enforcesUFW, Cloudflare proxying, and single‑gateway billing... read more Ā 

Building a digital doorman
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Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment

Last quarter, a mid-sized insurance company struggled to deploy an AI agent that collapsed in production due to cognitive overload. Enterprises are facing similar challenges when building single-agent AI systems and are moving towards multi-agent architectures to distribute responsibilities effectiv.. read more Ā 

Multi-Agent AI Systems: Architecture Patterns for Enterprise Deployment
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How OpenAI Codex Works

Engineering leaders report limited ROI from AI, often missing full lifecycle costs. OpenAI's Codex model for cloud-based coding required significant engineering work beyond the AI model itself. The system's orchestration layer ensures rich context for the model to execute tasks effectively... read more Ā 

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Inside our approach to the Model Spec

OpenAI introduces Model Spec, a formal framework defining behavioral rules for their AI models to follow, aiming for transparency, safety, and public insight. The Model Spec includes a Chain of Command to resolve instruction conflicts and interpretive aids for consistent gray area decisions, emphasi.. read more Ā 

Inside our approach to the Model Spec
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Software engineer interviews for the age of AI

AI is becoming more prevalent in coding interviews, sparking interest from experienced candidates tired of traditional methods. Hiring great engineers is crucial for maintaining reliable services, especially in the era of AI-generated code. System design interviews help identify candidates with hand.. read more Ā 

Software engineer interviews for the age of AI
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Why system architects now default to Arm in AI data centers

Architects rebase infrastructure torack-levelsystems. They anchor designs onArm NeoverseCPUs. Goal: balance energy, thermals, memory bandwidth, and sustained throughput. Benchmarks showGraviton4(Neoverse) outperforms comparableAMDandIntelEC2instances on price/performance for generative AI, DB, ML, a.. read more Ā 

Why system architects now default to Arm in AI data centers
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How I Use LLMs for Security Work

LLMs like Claude, Cursor, and ChatGPT help tackle complex problems, but prompting them like Google won't cut it. Use role-stacking for varied perspectives (e.g.: you are a senior security engineer and sr. software engineer with experience in Docker, Kubernete..) and always specify your tools for bet.. read more Ā 

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The Software Factory: Why Your Team Will Never Work the Same Again

The current models and tooling are enough to build software factories. In a software factory, developers stop writing code by hand, and AI coding agents implement features and fix bugs while developers design and improve the factory. Tools like Claude Code and Gas Town enable this shift towards a mo.. read more Ā 

The Software Factory: Why Your Team Will Never Work the Same Again
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5 Suggestions to Upgrade your OpenTofu/Terraform & AWS Development Experience

The article covers tools and scripts to reclaim focus and improve workflow for OpenTofu, Terraform, and AWS CLI users. Suggestions include tools for easily swapping between versions, summarizing plans, linting code, switching AWS profiles, and customizing prompts. Bonus recommendation includes Task .. read more Ā 

5 Suggestions to Upgrade your OpenTofu/Terraform & AWS Development Experience
BAO, c’est les chasseurs Tech et Produit qui apportent de la transparence au recrutement. Depuis Paris et Bordeaux, ils ont fait du monde startup leur terrain de jeu en décidant de ne travailler que sur treĢ€s peu de postes aĢ€ la fois. Pourquoi ? Parce qu’on voit la chasse comme un sprint dans lequel on travaille main dans la main avec nos clients : nous donnons un maximum de visibilité et de conseil aĢ€ nos startups partenaires.

En créant BAO, en 2019, Baptiste et Lucas ont décidé de mettre l’écoute au cœur de leur travail. Curiosité, sourire et empathie sont le seul trait commun aĢ€ toute l’équipe !

Le bouche-aĢ€-oreille est au centre de leur manieĢ€re de chasser : chaque recruteur entretient son réseau, conscient que la proximité ameĢ€ne aĢ€ de belles rencontres.
Travailler chez BAO c’est avoir la volonté de rencontrer des personnes aux parcours passionnants et de tisser des liens avec eux. Mais c’est aussi gagner en autonomie tout en profitant d’une équipe dans laquelle les membres s’encouragent mutuellement.

C'est de la vente sans avoir aĢ€ eĢ‚tre agressif, des évolutions rapides au sein d’un écosysteĢ€me passionnant et un environnement de travail ambitieux sans se prendre trop au sérieux.